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production using state-of-the-art data science methods, leading to improved research in forestry and economics. Additionally, the fellow will be invited to participate in the broader research goals using
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conditions they are likely to be useful. For this reason, we have assembled a research team to explore new methods and new data that will improve foundational fuel structure and flammability information
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for the U.S. energy future. Resource estimation methods to determine tonnage and grade of these unconventional feedstocks is still evolving, and requires refined approaches that leverage probabilistic modeling
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program and complete the degree prior to the appointment start date. The ideal candidate would have some, but not necessarily all, of the following: PhD. in Materials Science, Chemical Engineering
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surveys and other anecdotal collection methods Combine empirical evidence gathered from web/social media analytics Study data associated with content Collaborate with other team members to create multimedia
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existing skill set. This project will present an exciting opportunity to deepen your knowledge of polymer science & expand your knowledge in applying computational methods to real-world materials challenges
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. Application deadlines vary by opportunity. PhD candidates interested in a collaborative thesis project may be eligible for DOE's Office of Science Graduate Student Research Program . Duration: Appointment
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resistance (IR) is a concern for mosquito control because it removes or limits the effectiveness of traditional control methods. Larvicides target the larval stage of the mosquito and are an important part of
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Organization DEVCOM Army Research Laboratory Reference Code ARL-C-CISD-1780409609 Description About the Research Our goal is to develop improved optical methods for characterizing and understanding
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research and analysis in the Army. US citizenship is required for this research opportunity. The successful candidate will assist with the development of novel nano-mechanical test methods for and